Our data
The definitive dataset for AI search
Every day, millions of people use AI to ask questions. We capture these interactions at unprecedented scale, storing terabytes of conversational data that reveals exactly how businesses are represented, which sources are cited, and how AI responses evolve over time.
Our infrastructure reveals what others can't: how you truly appear in AI conversations. Unsophisticated competitors rely on unrepresentative data from static models with fixed knowledge cutoffs accessed via developer API. We've invested in technology to capture the authentic user experience of AI platforms as they actually function in real customer conversations.
Reliable and accurate data is critical for drawing meaningful insights. Conversational AI platforms don't just rely on pre-trained knowledge—they enhance their responses with fresh web data and apply various content transformations. We directly monitor these enhanced interactions at scale, showing you exactly what people see when they ask a question.
Conversations analyzed
Across all platforms in different geographics and devices.
Websites monitored
Websites cited and referenced as sources in AI conversations.
AI agent visits tracked
Unique visits from AI agents to websites we monitor.
Websites discovered daily
New websites cited in AI conversations discovered daily.
Data sources
Multiple data points, one complete picture
We combine multiple data points with advanced data science techniques to reveal insights you can't get anywhere else.
Proprietary data
We monitor and collect responses from real conversational AI platforms, across different geographies and devices.
Public data
We collect and index publicly available information from millions of websites.
Licensed data
We license data from specialized companies like ISPs, data brokers, and corporate intelligence firms.
Partner network
We leverage our growing partner network of browser extensions and devices for anonymized clickstream data.
Advanced data science
Sophisticated models to analyze AI responses
We apply advanced computational techniques to millions of AI conversations, converting unstructured interactions into precise, actionable insights.
Statistical conversation modelling
Our proprietary query generation model employs a stratified sampling methodology to create statistically representative conversational prompts. We systematically capture diverse conversation patterns, creating a robust dataset that accurately reflects how real users interact with AI platforms.
Precision entity identification
Our natural language processing system extracts structured insights from AI responses through our fine-tuned entity recognition model. These advanced models identify not only explicit entity mentions but also implicit references and competitive relationships with precision unavailable in conventional frameworks.
Semantic context evaluation
Our specialized NLP models examine the complete linguistic context surrounding each reference. Using transformer-based architecture, we analyze how AI platforms frame entities within broader discussions, evaluating surrounding text and semantic relationships to distinguish meaningful mentions from surface-level references.